Sentence examples for a specific compromise from inspiring English sources

Speaking today in Minnesota, Mr. Bush repeated his earlier call for Congress to complete work on tax credit legislation and get it to his desk, but he has not pressed a specific compromise proposal or tried to force an agreement.

Augusta National members who hope to mediate the dispute said they had not decided on a specific compromise proposal to advance, although some suggested that the club could choose to announce a timetable by which it would accept its first woman.

The two sides have been discussing a few specific compromises for years, even before Obamacare passed, in 2010.

What specific compromise Nelson is hoping to broker in the tax cut debate is unknown, in part because he declined to offer specifics.

The United States had been the focus of attacks on Wednesday by some poor countries for failing to make specific compromises in agriculture.

He should use it to extract specific compromises from Bush on finance reform in the party platform -- some parts before the election, more afterward if victorious.

Indeed, while indicators are the product of specific compromises, of particular combinations of negotiated norms and scientifically produced nature, the paper highlights their ability to erase history and naturalize rationales.

When the time comes to start talking about which specific compromises you intend to make, be sure to make her an equal partner in the decision-making.

And for those worried about prying eyes: Slack says that, at a wide scale, they believe "there was no unauthorized access to any of your team data (such as messages or files)" — and if they find any evidence that a specific team/room/person was compromised, they'll contact them directly.

Our data suggest that specific factors influence early steps of homologous recombination in subtelomeric regions including the PAR, and that the Gal4BD-Spo11 mice have a specific defect that compromises the proper execution of the recombination program in these areas.

Current methods to predict patients' perioperative morbidity use complex algorithms with multiple clinical variables focusing primarily on organ-specific compromise.